63 lines
1.5 KiB
Plaintext
63 lines
1.5 KiB
Plaintext
# tested in python==3.6.6
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numpy==1.14.5
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scipy==1.1.0
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tensorflow==1.10.0 # to do... compatible with latest tf and tf-gpu
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tensorboard==1.10.0
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networkx==2.3
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gensim==3.7.3
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scikit-learn==0.19.0 # to do... compatible with >0.20
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pandas==0.23.0
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psutil==5.6.3
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# Enable GPU:
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# If using anaconda, run `conda install tensorflow-gpu==1.10.0`
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# For cuda driver compatibility: https://docs.nvidia.com/deploy/cuda-compatibility/index.html
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# For example, if driver version is 384.xx then also install cudatoolkit==9.0
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# Or simply build from docker image: docker pull tensorflow/tensorflow:1.10.0-gpu-py3
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# ref: https://www.tensorflow.org/install/docker#gpu_support
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'''
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Package Version
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--------------- --------
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absl-py 0.7.1
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astor 0.8.0
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boto 2.49.0
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boto3 1.9.160
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botocore 1.12.160
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certifi 2019.3.9
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chardet 3.0.4
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decorator 4.4.0
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docutils 0.14
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gast 0.2.2
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gensim 3.7.3
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grpcio 1.21.1
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idna 2.8
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jmespath 0.9.4
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Markdown 3.1.1
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mkl-fft 1.0.12
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mkl-random 1.0.2
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networkx 2.3
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numpy 1.14.5
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pandas 0.23.0
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pip 19.1.1
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protobuf 3.8.0
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psutil 5.6.3
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python-dateutil 2.8.0
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pytz 2019.1
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requests 2.22.0
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s3transfer 0.2.0
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scikit-learn 0.19.0
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scipy 1.1.0
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setuptools 39.1.0
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six 1.12.0
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smart-open 1.8.4
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tensorboard 1.10.0
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tensorflow 1.10.0
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termcolor 1.1.0
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urllib3 1.25.3
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Werkzeug 0.15.4
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wheel 0.33.4
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''' |